A selection of prototypes and experiments mainly conducted to learn about search engine indexing and the impact of code on search performance. They range from quick and dirty prototypes to near-production ready projects.

Visit the projects by clicking on the name in the left column, or read about the setting, research questions, and conclusion of the experiment by clicking on the right column of the table.

Overview of experiments in chronological order
OpenData SG ➚Open data experiment with media releases of St. Gallen, Switzerland. ➙
Clinic Homepage Demo ➚Homepage of a fictitious clinic, with accessibility and safety best-practices applied. ➙
ECS Map ➚Interactive map of charging stations for electric cars in Switzerland and surround areas ➙
DPLMC ➚Platform to play the Diplomacy boardgame online ➙
People Nature Stones ➚Multilingual travel blog, prototyping of user friendly CMS ➙
MSA.IDX ➚Reddit sentiment analysis to explore the potential of content generated by user queries ➙
Disruption Deptartment ➚Research papers summarized by LLMs and made available in multiple languages, optimized CMS for productivity ➙
RxSearch ➚Medical drug information site, exploring ways to get content from large datasets indexed by search engines ➙
AiOped ➚News site for testing how text content written by LLMs is indexed by search engines, prototyping CMS ➙


The initial idea behind this experiment was to play around with sentiment analysis (estimating the emotional sentiment of text content). Previous tests showed that a) Google is smart at crawling web pages and that b) the tech stack (Remix/React living in a Node server function on AWS) has good performance.

Reddit was chosen as the source for the texts. Two different indexes were created to bring something new (and hopefully useful) to the web. On top of that, a rest API so that users can programmatically access the index data.

A feature is that each query creates a new data point that is stored in the database. In this way, new content is constantly generated and current sentiment values can be compared with values from the past.

There are a few web tools that provide sentiment analysis of Reddit. Mainly used for marketing purposes (brand monitoring), relatively expensive. Offering the service for free and adding some branding should increase the probability that people start using it and it gains popularity over time.

Another feature is the distinction between queries made by humans and those made by bots of search engines or LLMs. - I'm curious to see if machines and humans are interested in the same topics.

While this project is far from perfect, the codebase and concept could serve as a foundation for a commercial project in the future.

TypeSearch site, statistical sentiment data
Domain historyNew domain
TimeNovember 2023 - present
StatusBroken due to changes in the API.
  • As expected, Google explores and indexes pages and creates new index combinations.